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Toplam kayıt 17, listelenen: 1-10
Evapotranspiration prediction using adaptive neuro-fuzzy inference system and Penman FAO 56 equation for St. Johns, FL, USA
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Evapotranspiration (ET) estimation is a primary problem for irrigation engineers and hydraulic designers because it is an important part of hydrologic cycle. Even it is non-negligible in hydraulic design calculations, it ...
Evapotranspiration estimation using support vector machines and Hargreaves-Samani equation for St. Johns, FL, USA
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Information about Evapotranspiration (ET) calculations are not clear enough even it is an important part of hydrological cycle. There are many parameters which effect ET directly or indirectly such as Solar Radiation (SR) ...
Estimation of groundwater level using artificial neural networks: A case study of Hatay-Turkey
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Groundwater, which is a strategic resource in Turkey, is used for drinking-use, agricultural irrigation and industrial purposes. Population increase and total water consumption are constantly increasing. In order to meet ...
Evapotranspiration prediction using M5T method and ritchie equation for St. Johns, FL, USA
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Evapotranspiration (ET) estimation takes an important role in hydraulic designs and agricultural yield. Even it is non-negligible for hydraulic designers and irrigation engineers it is not clear enough to estimate or ...
Groundwater level prediction using Support Vektor Machines and autoregressive (AR) modelss
(Vilnius Gediminas Technical University Publishing House "Technika", 2017)
Water resources managers can benefit from accurate prediction of the availability of groundwater. Ground water is a major source of water in Turkey for irrigation, water supply and industrial uses. The ground water level ...
Eşgüdümlü Bileşenler ile Birleştirme Yaklaşımı
(CEUR-WS, 2017)
Bu çalışmada bileşen yönelimli sistem geliştirme yaklaşımlarında süreç modeli kullanımını desteklemek üzere farklı kabiliyetler gerektiren bileşen yapıları önerilmektedir. Bu yapılar ile merkezi bir süreç denetimi sağlamak ...
Parçacık değiştirmeli PSO algoritması
(Institute of Electrical and Electronics Engineers Inc., 2017)
Particle swarm optimization (PSO) is a swarm based optimization algorithm to find an optimum solution of a problem. In the present study, a new approach to PSO algorithm is proposed. Instead of using only the best solution ...
A Power Rating and Application Survey of Magnetically Controlled Shunt Reactor
(Institute of Electrical and Electronics Engineers Inc., 2017)
MCSR can simplify the system reactive power and voltage control in the super / special high-voltage power grid, suppress power frequency and operation over voltage, eliminating generator self excitation, dynamically ...
Second-order sliding mode control design and experimental application to a servo motor
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this study, first-order and second-order sliding mode speed controller for the Precision Modular Servo (PMS) setup produced by Feedback Instruments is proposed. The second-order sliding mode controller which permits ...
Performance Comparision of Different Momentum Techniques on Deep Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2017)
Increase in popularity of deep convolutional neural networks in many different areas leads to increase in the use of these networks in reinforcement learning. Training a huge deep neural network structure by using simple ...